Rocky Brands (RCKY) Non-Current Debt (2010 - 2026)
Rocky Brands (RCKY) recorded Non-Current Debt of $114.03 million in Q2 2026, down 8.2% from $124.17 million a year earlier but up 0.2% from the prior quarter.
Rocky Brands (RCKY) Non-Current Debt (2010 - 2026) Analysis & Trends
At the end of FY2025, Rocky Brands reported Non-Current Debt of $114.28 million, down 5.1% from FY2024.
- Annual Non-Current Debt has declined for four straight years, with a four-year compound annual growth rate of -19.1% (FY2021 to FY2025).
- Across earlier years, Non-Current Debt came in at $120.38 million in FY2024 (-29.4%), $170.48 million in FY2023 (-32.8%), $253.65 million in FY2022 (-4.9%) and $266.79 million in FY2021.
- Quarterly Non-Current Debt has ranged from $113.79 million in Q1 2026 to $281.52 million in Q3 2022 over the past five years.
- On a year-over-year basis, Non-Current Debt has declined for 15 consecutive quarters, with an average decline of 15.5% over the last eight quarters.
- Peak year-over-year performance for Non-Current Debt in the last five years was growth of 52.8% in Q2 2022, against a decline of 33.6% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $113.79 million (Q1 2026), $114.28 million (Q4 2025) and $130.68 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.89 Bn | 23.09 Bn | 4.80 Bn | 5.89 Bn |
| 2 | Ralph Lauren | 22.95 Bn | 15.05 Bn | 1.44 Bn | 1.24 Bn |
| 3 | Tapestry | 22.81 Bn | 18.77 Bn | 1.56 Bn | - |
| 4 | Deckers Outdoor | 12.13 Bn | 5.00 Bn | - | - |
| 5 | Lululemon Athletica | 11.09 Bn | 5.34 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 8.25 Bn | 4.84 Bn | 1.07 Bn | 1.04 Bn |
| 7 | Gildan Activewear | 7.59 Bn | 6.51 Bn | 459.76 Mn | 25.30 Mn |
| 8 | V F | 6.87 Bn | 3.49 Bn | 917.04 Mn | 3.00 Bn |
| 9 | Birkenstock Holding | 6.20 Bn | 4.52 Bn | 493.89 Mn | 1.92 Bn |
| 10 | Rocky Brands | 356.72 Mn | 346.21 Mn | 60.80 Mn | 114.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 114.03 Mn |
| Mar 31, 2026 | 113.79 Mn |
| Dec 31, 2025 | 114.28 Mn |
| Sep 30, 2025 | 130.68 Mn |
| Jun 30, 2025 | 124.17 Mn |
| Mar 31, 2025 | 120.26 Mn |
| Dec 31, 2024 | 120.38 Mn |
| Sep 30, 2024 | 141.93 Mn |
| Jun 30, 2024 | 144.07 Mn |
| Mar 31, 2024 | 153.30 Mn |
| Dec 31, 2023 | 170.48 Mn |
| Sep 30, 2023 | 211.19 Mn |
| Jun 30, 2023 | 217.11 Mn |
| Mar 31, 2023 | 216.97 Mn |
| Dec 31, 2022 | 253.65 Mn |
| Sep 30, 2022 | 281.52 Mn |
| Jun 30, 2022 | 281.37 Mn |
| Mar 31, 2022 | 264.49 Mn |
| Dec 31, 2021 | 266.79 Mn |
| Sep 30, 2021 | 235.51 Mn |
Rocky Brands Non-Current Debt API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=non-current-debt&ticker=RCKY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "ticker": "RCKY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-current-debt&ticker=RCKY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();